Estudio temporal de diabetes mellitus tipo 1 en Chile: asociación con factores ambientales durante el período 2000-2007

Background: Pollution and viral infections could be associated with the incidence of type 1 diabetes mellitus. Aim: To look for associations between the temporal patterns of Type 1 Diabetes Mellitus (T1D) in infants younger than the age of 15years, and environmental factors, such as air pollution an...

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Autores principales: González R,Nelly, Torres-Avilés,Francisco, Carrasco P,Elena, Salas P,Francisca, Pérez B,Francisco
Lenguaje:Spanish / Castilian
Publicado: Sociedad Médica de Santiago 2013
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872013000500007
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spelling oai:scielo:S0034-988720130005000072013-09-26Estudio temporal de diabetes mellitus tipo 1 en Chile: asociación con factores ambientales durante el período 2000-2007González R,NellyTorres-Avilés,FranciscoCarrasco P,ElenaSalas P,FranciscaPérez B,Francisco Boyes theorem Diabetes Mellitus, type 1 Respiratory syncytial virus infection Background: Pollution and viral infections could be associated with the incidence of type 1 diabetes mellitus. Aim: To look for associations between the temporal patterns of Type 1 Diabetes Mellitus (T1D) in infants younger than the age of 15years, and environmental factors, such as air pollution and viruses. Material and Methods: Data registries from hospitals, emergency services, and the Infantile Diabetes Foundation were reviewed, corresponding to children aged less than 15years, who received their first insulin injection between 2000 and 2007. The incidence of type 1 diabetes was computed for each epidemiological week. Environmental ozone and particulate matter rates for each week were obtained from Environmental services. Rates of influenza and respiratory syncytial virus infections were obtained from the epidemiological department of the Ministry of Health. An ecological Bayesian Poisson regression model was fitted, introducing the covariates, lagged covariates and errors, to estimate the incidence by epidemiological week. Results: Three factors were significant by the proposed model: particulate matter PPM 2.5 (relative risk (RR): 1.003) lagged by two weeks, influenza (RR: 0.1808) and RSV (RR: 1.021). Trends and seasonality were clearly controlled by these covariates, considering the epidemiological week as a counting period. Conclusions: These results show that environmental factors could be related to peaks of type 1 diabetes incidence.info:eu-repo/semantics/openAccessSociedad Médica de SantiagoRevista médica de Chile v.141 n.5 20132013-05-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872013000500007es10.4067/S0034-98872013000500007
institution Scielo Chile
collection Scielo Chile
language Spanish / Castilian
topic Boyes theorem
Diabetes Mellitus, type 1
Respiratory syncytial virus infection
spellingShingle Boyes theorem
Diabetes Mellitus, type 1
Respiratory syncytial virus infection
González R,Nelly
Torres-Avilés,Francisco
Carrasco P,Elena
Salas P,Francisca
Pérez B,Francisco
Estudio temporal de diabetes mellitus tipo 1 en Chile: asociación con factores ambientales durante el período 2000-2007
description Background: Pollution and viral infections could be associated with the incidence of type 1 diabetes mellitus. Aim: To look for associations between the temporal patterns of Type 1 Diabetes Mellitus (T1D) in infants younger than the age of 15years, and environmental factors, such as air pollution and viruses. Material and Methods: Data registries from hospitals, emergency services, and the Infantile Diabetes Foundation were reviewed, corresponding to children aged less than 15years, who received their first insulin injection between 2000 and 2007. The incidence of type 1 diabetes was computed for each epidemiological week. Environmental ozone and particulate matter rates for each week were obtained from Environmental services. Rates of influenza and respiratory syncytial virus infections were obtained from the epidemiological department of the Ministry of Health. An ecological Bayesian Poisson regression model was fitted, introducing the covariates, lagged covariates and errors, to estimate the incidence by epidemiological week. Results: Three factors were significant by the proposed model: particulate matter PPM 2.5 (relative risk (RR): 1.003) lagged by two weeks, influenza (RR: 0.1808) and RSV (RR: 1.021). Trends and seasonality were clearly controlled by these covariates, considering the epidemiological week as a counting period. Conclusions: These results show that environmental factors could be related to peaks of type 1 diabetes incidence.
author González R,Nelly
Torres-Avilés,Francisco
Carrasco P,Elena
Salas P,Francisca
Pérez B,Francisco
author_facet González R,Nelly
Torres-Avilés,Francisco
Carrasco P,Elena
Salas P,Francisca
Pérez B,Francisco
author_sort González R,Nelly
title Estudio temporal de diabetes mellitus tipo 1 en Chile: asociación con factores ambientales durante el período 2000-2007
title_short Estudio temporal de diabetes mellitus tipo 1 en Chile: asociación con factores ambientales durante el período 2000-2007
title_full Estudio temporal de diabetes mellitus tipo 1 en Chile: asociación con factores ambientales durante el período 2000-2007
title_fullStr Estudio temporal de diabetes mellitus tipo 1 en Chile: asociación con factores ambientales durante el período 2000-2007
title_full_unstemmed Estudio temporal de diabetes mellitus tipo 1 en Chile: asociación con factores ambientales durante el período 2000-2007
title_sort estudio temporal de diabetes mellitus tipo 1 en chile: asociación con factores ambientales durante el período 2000-2007
publisher Sociedad Médica de Santiago
publishDate 2013
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872013000500007
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